Leega
API • Artificial Intelligence • Cloud Solutions
Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.
201 - 500 employees
Founded 2010
🔌 API
🤖 Artificial Intelligence
Senior Data Engineer – Analytics, MCP, dbt
Job not on LinkedIn
October 24
🗣️🇧🇷🇵🇹 Portuguese Required
Leega
API • Artificial Intelligence • Cloud Solutions
Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.
201 - 500 employees
Founded 2010
🔌 API
🤖 Artificial Intelligence
📋 Description
• Build multi-cloud data pipelines for AI, ensuring data readiness for MCP agents and delivering strategic insights via dashboards. • Create event-driven pipelines using Pub/Sub and Dataflow (Python) for MCP agent events. • Prepare datasets for RAG, embeddings, and model fine-tuning. • Model analytical data in BigQuery using dbt (versioning, macros, tests, and documentation). • Develop dashboards in Looker Studio or Power BI. • Define AI performance metrics (latency, success rate, cost).
🎯 Requirements
• Advanced experience with GCP (BigQuery, Dataflow, Pub/Sub). • Strong knowledge of dbt (modeling, macros, documentation, tests). • Background in data engineering for AI (feature stores, vectorization, dataset quality). • Familiarity with MCP to align events with workflows. • Advanced SQL and Python for Dataflow. • Experience with dashboards (Looker, Power BI, Tableau).
🏖️ Benefits
• Leega is for everyone • We invest in continuous professional development
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